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Research Data Strategy "Anno Zero" - Adopting & Adapting the RISE-DE reference model

Authors: Della Chiesa, Stefano;

Research Data Strategy "Anno Zero" - Adopting & Adapting the RISE-DE reference model

Abstract

Research Data Management (RDM) is a cross-functional, multi-level, multidisciplinary endeavour among various actors. The key in RDM is to maximise the research data value chain, knowledge transfer and impact. This poster was presented at the 3. Sächsische FDM-Tagung present the preliminary work of the Leibniz IOER in developing a research data strategy, governance and stewardship program with a socio-technical approach, improving engagement, coordination and RDM procedures. The Leibniz IOER research data strategy development follows and adapt the Research Infrastructure Self-Evaluation framework developed for the German context (RISE-DE). Link to the abstracts: SaxFDM-Tagung-2022-Programm-und-Abstracts-der-Vortraege-und-Poster.pdf

Keywords

Research Data Strategy, SaxFDM, Research Data Management, 3. Sächsische FDM-Tagung, RISE-DE, Forschungsdatenmanagement, Research Data Governance, Research Data Stewardship

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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